Clifford Spiegelman, Eun Sug Park, Laurence R Rilett

Transportation Statistics and Microsimulation

• Gebundenes Buch

Produktbeschreibung

Unlike almost all other engineering disciplines, the practice of transportation engineering is based on the behavior of individual persons. Consequently, the commonly used statistics in transportation have unique characteristics. While typical statistics books are useful, they are not typically developed with civil engineers, let alone transportation engineers, in mind. Based on the authorsa (TM) collaborative educational and research activities over the past ten years, this book focuses on statistics used in the transportation industry. Through examples, it explores the issues behind many of the most popular techniques. The text also includes computer code for solving problems.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 384
• Erscheinungstermin: 18. Oktober 2010
• Englisch
• Abmessung: 236mm x 157mm x 25mm
• Gewicht: 680g
• ISBN-13: 9781439800232
• ISBN-10: 1439800235
• Artikelnr.: 29954773

Autorenporträt

Clifford Spiegelman is a distinguished professor of statistics at Texas A&M University, where he has been for twenty-three years. Dr. Spiegelman is also a senior research scientist at the Texas Transportation Institute. Eun Sug Park is a research scientist at the Texas Transportation Institute. Dr. Park was a recipient of the TRB Pedestrian Committee Outstanding Paper Award (2006 and 2009) and the Patricia Waller Award (2009). Laurence R. Rilett is a distinguished professor of civil engineering at the University of Nebraska-Lincoln. He also is the director of both the U.S. Department of Transportation's Region VII University Transportation Center and the Nebraska Transportation Center.

Inhaltsangabe

Overview: The Role of Statistics in Transportation Engineering. Graphical
Methods for Displaying Data. Numerical Summary Measures. Probability and
Random Variables. Common Probability Distributions. Sampling Distributions.
Inferences: Hypothesis Testing and Interval Estimation. Other Inferential
Procedures: ANOVA and Distribution-Free Tests. Inferences Concerning
Categorical Data. Linear Regression. Regression Models for Count Data.
Experimental Design. Cross-Validation, Jackknife, and Bootstrap Methods for
Obtaining Standard Errors. Bayesian Approaches to Transportation Data
Analysis. Microsimulation. Appendix.

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Overview: The Role of Statistics in Transportation Engineering. Graphical Methods for Displaying Data. Numerical Summary Measures. Probability and Random Variables. Common Probability Distributions. Sampling Distributions. Inferences: Hypothesis Testing and Interval Estimation. Other Inferential Procedures: ANOVA and Distribution-Free Tests. Inferences Concerning Categorical Data. Linear Regression. Regression Models for Count Data. Experimental Design. Cross-Validation, Jackknife, and Bootstrap Methods for Obtaining Standard Errors. Bayesian Approaches to Transportation Data Analysis. Microsimulation. Appendix.

Rezensionen

In this treatment of statistics specifically directed to transportation planners and engineers, Spiegelman and other transportation experts discuss the basics of statistical and graphical methods, differences between methodologies, strategies for conducting computer-aided statistical designs (using JMP software by SAS), bias-corrected confidence intervals, re-sampling techniques for evaluating uncertainties, and the concepts of Bayesian estimation and smoothing estimators. They also overview increasingly used traffic microsimulation models. The text includes homework problems, appended information on soft modeling and nonparametric model building, and a companion website for access to data sets.
-SciTech Book News, February 2011